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Assessment of Gen AI Readiness Factors in the Indian Cement Industry : A COPRAS-Based Prioritization

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    Asia Pacific Journal of Information Systems KCI 등재 SCOPUS 바로가기
  • 통권
    제36권 제1호 (2026.03)바로가기
  • 페이지
    pp.45-66
  • 저자
    Satish Chandra Pandey, Sambit Kumar Dash, Naveen Virmani
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A482750

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원문정보

초록

영어
Generative AI (Gen-AI) is getting importance in enhancing business competitiveness and overcoming environmental and economic concerns. However, its adoption and readiness assessment is subjected to various complexities. Therefore, the presented study aims for exploring various readiness factors impacting Gen-AI adoption. With the help of the Technology–Organization–Environment (TOE) theoretical framework, the presented study provided the framework of 14 readiness factors (RF) to support the adoption. The readiness factors including quality control automation, talent availability, data security and governance, ecosystem access were explored using literature review and further confirmed using expert opinion. Also, seven criteria including connectivity, Cloud–Edge Orchestration, Semantic consistency, decentralization were identified. Analytic Hierarchy Process (AHP) was used to compute criteria weights. Then, readiness factors were mapped with seven criteria, and COPRAS method was used to prioritize the readiness factors. The top readiness factors investigated as digital infrastructure, ethical & regulatory preparedness, data readiness quality and maturity, and organizational readiness. In the next step, sensitivity analysis was conducted by changing criteria weights and analyzed that relative ranking of readiness factors remains same. This research results are highly useful for industry managers and practitioners in adopting Gen-AI and opens a revolutionary potential for conducting further research in this direction.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Literature Review
2.1. Theoretical Framework
Ⅲ. Methodology
Ⅳ. Case Analysis
4.1. Sensitivity Analysis
Ⅴ. Results
5.1. Managerial Implications
Ⅵ. Conclusion, Limitations and Scope for Future Work

키워드

Gen-AI Cement Industry Readiness Factors Criteria COPRAS

저자

  • Satish Chandra Pandey [ PhD Scholar, Indian Institute of Management Sambalpur, India ]
  • Sambit Kumar Dash [ PhD Scholar, Indian Institute of Management Sambalpur, India ] Corresponding Author
  • Naveen Virmani [ Professor, Institute of Management Studies (IMS) Ghaziabad - B School-201009, India ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국경영정보학회 [The Korea Society of Management information Systems]
  • 설립연도
    1989
  • 분야
    사회과학>경영학
  • 소개
    이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.

간행물

  • 간행물명
    Asia Pacific Journal of Information Systems
  • 간기
    계간
  • pISSN
    2288-5404
  • eISSN
    2288-6818
  • 수록기간
    1990~2026
  • 등재여부
    KCI 등재,SCOPUS
  • 십진분류
    KDC 325 DDC 658

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